AI DNA Similarity
Best Alternatives to Houboulang Mendes
Players most similar to Houboulang Mendes (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Houboulang Mendes
- 1.Nikita Andreev83% DNA match·Middelfart
- 2.Fabian Holland81% DNA match·Darmstadt 98
- 3.Damian van der Haar81% DNA match·PEC Zwolle
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“Houboulang Mendes is a Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Houboulang Mendes is a Defender. Solid defensive option. The three most similar players to Houboulang Mendes by playing style are:
- Nikita Andreev(83% match) — Mads Greve is a Defender. Solid defensive option.
- Fabian Holland(81% match) — Fabian Holland is a Active Full-Back. Wide defender contributing to attacks. Statistically, he stands out as active in the tackle (2.2 tackles/90).
- Damian van der Haar(81% match) — A Solid Defender.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
N
Nikita Andreev
Middelfart · Superliga
Denmark36y
Tkl/901.17
KP/900.20
vs Mendes: 8y older
83% match
N/A
#2
F
Fabian Holland
Darmstadt 98 · Bundesliga
Germany35yContract 2025
Tkl/903.98
KP/900.36
Active Full-Back
Last 5: ↓ Dipvs Mendes: 7y older
81% match
N/A
#3
D
Damian van der Haar
PEC Zwolle · Eredivisie
Netherlands22yContract 2028
Tkl/901.75
KP/900.72
Solid Defender
vs Mendes: 6y younger
81% match
N/A
#4
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
81% match
N/A
#5
H
Henning Matriciani
Schalke 04 · Bundesliga
Germany26yContract 2026
Tkl/902.16
KP/900.15
80% match
N/A
#6
R
Rasmus Brodersen
HB Køge · Superliga
Denmark24y
Tkl/900.63
KP/900.63
Solid Defender
Last 5: ↑ Hot81% match
N/A
#7
B
Burhan Ersoy
Fatih Karagümrük · Super Lig
Turkey22y
Tkl/901.61
KP/900.00
Solid Defender
81% match
N/A
#8
N
Noah Barholt Rasmussen
Middelfart · Superliga
Denmark20y
Tkl/901.47
KP/900.42
Solid Defender
Last 5: ↑ Hot81% match
N/A
#9
S
Simon Asta
Kaiserslautern · Bundesliga
Germany25y
Tkl/901.89
KP/900.00
Small Sample
Last 5: → Stable80% match
N/A
#10
J
Jonas Kehl
Sportfreunde Lotte · Bundesliga
Germany25y
Tkl/900.00
KP/900.00
Small Sample
80% match
N/A
#11
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
79% match
N/A
#12
W
Wouter Prins
FC Groningen · Eredivisie
Netherlands22y
Tkl/904.38
KP/900.76
78% match
N/A
⬡
Ask AI: Why are these players similar?
Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Houboulang Mendes.
Ask AI about Houboulang Mendes →Frequently Asked Questions
Who are the best alternatives to Houboulang Mendes?▼
The top alternatives to Houboulang Mendes based on AI DNA playing style analysis include: Nikita Andreev, Fabian Holland, Damian van der Haar, Dean van der Sluys, Henning Matriciani. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Houboulang Mendes in 2026?▼
Players with a similar profile to Houboulang Mendes in 2026 include Nikita Andreev (N/A), Fabian Holland (N/A), Damian van der Haar (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Houboulang Mendes play and who plays similarly?▼
Houboulang Mendes plays as a Defender. Players with a comparable positional profile include Nikita Andreev (Denmark, N/A); Fabian Holland (Germany, N/A); Damian van der Haar (Netherlands, N/A); Dean van der Sluys (Netherlands, N/A).
How does Rising Transfers find similar players?▼
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.